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Neural Network Adaptive Sliding Mode Control to Seesaw Syste...

Neural Network Adaptive Sliding Mode Control to Seesaw Systems

作     者:FAN Zhiyong,ZHANG Jinggang College of Electronic Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,P.R.China 

会议名称:《第二十九届中国控制会议》

会议日期:2010年

学科分类:12[管理学] 0711[理学-系统科学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基  金:supported by Nature Science Foundation of Shanxi Province under Grant 2008011027-3 

关 键 词:Seesaw Neural Network Adaptive Sliding-mode Chattering 

摘      要:In this paper,a neural network adaptive sliding-mode controller(NNASMC)is proposed for higher-order,nonlinear seesaw *** first,the mathematical model of the seesaw system is ***,the neural network sliding mode controller is designed to be the main controller,which is used to approach the equivalent control part of sliding mode *** adaptive sliding mode controller is the compensation controller of the system,and the interference and uncertainties of the system are compensated by ***,sliding mode control based on index reaching law and NNASMC are used to do simulation on a seesaw system *** simulation results show that the NNASMC converges very fast and the maximum deviation of the system is very small.

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